如何调试TensorFlow中seq2seq模型的attention_decoder方法？

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python编写这个attention_decoder的testcase来调试，观察注意力机制的实现import tensorflow as tffrom tensorflow.python.ops import rnnfrom tensorflow.python.ops import rnn_cellfrom tensorflow.contrib.legacy_seq2seq.python import seq2seq

假设attention_decoder函数已经定义def attention_decoder(input_tensor, hidden_state, attention_mechanism, output_size): # 这里是注意力解码器的实现代码 pass

定义测试用例def test_attention_decoder(): # 创建一个简单的输入序列 input_sequence=tf.random_normal([batch_size, input_length]) # 创建隐藏状态 hidden_state=tf.random_normal([batch_size, hidden_size]) # 创建注意力机制 attention_mechanism=seq2seq.BahdanauAttention(num_units=hidden_size) # 创建解码器 decoder_cell=rnn_cell.BasicRNNCell(num_units=hidden_size) decoder=seq2seq.AttentionWrapper(decoder_cell, attention_mechanism, attention_layer_size=hidden_size) # 假设output_size已知 output_size=10

# 调用attention_decoder函数 output, _=attention_decoder(input_sequence, hidden_state, attention_mechanism, output_size)

# 检查输出 assert output.shape==(batch_size, output_length, output_size), 输出形状不正确

运行测试用例test_attention_decoder()

写这个attention_decoder的testcase来用debug的方式看看注意力机制的实现

import tensorflow as tf
from tensorflow.python.ops import rnn
from tensorflow.python.ops import rnn_cell
from tensorflow.contrib.legacy_seq2seq.python.ops import seq2seq as seq2seq_lib
with tf.Session() as sess:
batch_size = 16
step1 = 20
step2 = 10
input_size = 50
output_size = 40
gru_hidden = 30
cell_fn = lambda: rnn_cell.GRUCell(gru_hidden)
cell = cell_fn()
inp = [tf.constant(0.8, shape=[batch_size, input_size])] * step1
enc_outputs, enc_state = rnn.static_rnn(cell, inp, dtype=tf.float32)
attn_states = tf.concat([
tf.reshape(e, [-1, 1, cell.output_size]) for e in enc_outputs
], 1)
dec_inp = [tf.constant(0.3, shape=[batch_size, output_size])] * step2

dec, mem = seq2seq_lib.attention_decoder(
dec_inp, enc_state, attn_states, cell_fn(), output_size=7)
sess.run([tf.global_variables_initializer()])
res = sess.run(dec)
print(len(res))
print(res[0].shape)
res = sess.run([mem])
print(len(res))
print(res[0].shape)

改编自​​github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/legacy_seq2seq/python/kernel_tests/seq2seq_test.py​​